AMATH 301

Lecture Polynomial Fits and Splines

AMATH 301

Lecture Least-Squares Fitting Methods

AMATH 301

Lecture Data Fitting with Matlab

AMATH 301

Lecture Eigen-decompositions and Iterations

AMATH 301

Lecture Eigenvalues and Eigenvectors

AMATH 301

Lecture Iteration Methods for Ax-b

AMATH 301

Lecture Unconstrained Optimization (Derivative-Free Methods)

AMATH 301

Lecture Linear Programming and Genetic Algorithms

AMATH 301

Lecture Theory of the Fourier Transform

AMATH 301

Lecture Unconstrained Optimization (Derivative Methods)

AMATH 301

Lecture Discrete Fourier Transform (DFT) and the Fast Fourier Transform (FFT)

AMATH 301

Lecture Ordinary Differential Equations and Time-stepping

AMATH 301

Lecture Numerical Differentiation Methods

AMATH 301

Supplement Mean Value Theorem

AMATH 301

Lecture Higher-order Integration Schemes

AMATH 301

Lecture FFT and Image Compression

AMATH 301

Lecture Higher-order Accuracy Schemes for Differentiation and Integration

AMATH 301

Supplement Using ODE45 & Runge-Kutta methods

AMATH 301

Lecture Vectorized Time-step Integrators

AMATH 301

Lecture Application of Runge-Kutta to Chaotic Dynamics and the Double Pendulum

AMATH 301

Lecture Error and Stability of Time-stepping Schemes

AMATH 301

Lecture Application of Runge-Kutta to Lorenz Equation

AMATH 301

Lecture General Time-stepping and Runge-Kutta Schemes

AMATH 301

Supplement Indexing equations

AMATH 301

Lecture Principal Componenet Analysis (PCA)

AMATH 301

Supplement Big systems of ODEs

AMATH 301

Lecture The Singular Value Decomposition (SVD)

AMATH 301

Supplement Vector fields and phase-planes

AMATH 301

Supplement Discrete Fourier Transform

AMATH 301

Lecture PCA for Face Recognition

AMATH 301